Hongyang Chao

Computer Vision and Pattern Recognition · 2015–2021

A researcher in the Science corpus: 8 papers; trusts 890 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom Hongyang Chao trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Karen Simonyan
  6. Diederik P. Kingma
  7. Andrew Zisserman
  8. Ross B. Girshick
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Hongyang Chao overall

  1. Shiyu Chang
  2. Yanhong Zeng
  3. Ren Yang
  4. Liang Zheng
  5. Zhangyang Wang
  6. Tong Xiao
  7. Jianlong Fu
  8. Chi Su
  9. Nantheera Anantrasirichai

Papers from Hongyang Chao's perspective

Ordered by how strongly the researchers Hongyang Chao trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers